What Is Text-to-Speech?
Text-to-speech (TTS) is an assistive technology that reads digital text aloud. It takes written words on a computer or mobile device and converts them into spoken audio.
While early text-to-speech systems sounded robotic and disjointed, modern systems use advanced artificial intelligence to produce voices that closely mimic natural human speech rhythms, intonation, and pronunciation.
How Text Becomes Spoken Audio
Creating spoken audio from text is not just a matter of matching words to pre-recorded sounds. It requires understanding context, grammar, and pronunciation. A modern text to speech system completes this process in four major steps.
Step 1: Text Preparation and Normalization
The system cleans the raw input text, expanding abbreviations, numbers, and symbols into their full spoken words. For example, "Dr. Smith paid $10" is translated to "Doctor Smith paid ten dollars."
Step 2: Pronunciation and Speech Representation
The system determines how each word should sound based on linguistic rules and context. It breaks words down into phonemes (the distinct sounds of a language) and figures out the correct stress and intonation (prosody). For example, knowing the difference between "I read a book" (present tense) and "I have read a book" (past tense).
Step 3: Voice Generation
A neural network or acoustic model takes the linguistic data and converts it into a continuous acoustic waveform. This is where the specific characteristics of the chosen voice—like tone, accent, and timbre—are applied to the sound.
Step 4: Audio Output
Finally, the synthesized waveform is packaged into a standardized, playable audio format file, which is returned to the user for listening or downloading.
What Affects Text-to-Speech Quality?
While modern AI voices are incredibly realistic, the final audio result depends heavily on a few practical factors:
- Input quality: Proper spelling and punctuation (like commas and periods) give the system vital clues on where to pause and how to inflect the sentence.
- Language and accent models: A voice trained specifically on an American English dataset will sound far more natural speaking American English text than a British English voice attempting the same vocabulary.
- Playback speed: Extremely fast or extremely slow playback speeds can distort the natural rhythm of the AI voice.
How to Generate Speech with Konthora
Konthora provides a simple, browser-based workflow for generating high-quality speech. You do not need to create an account, and everything runs directly from your browser.
You can choose from 10 distinct English voices (6 American English and 4 British English). Each request allows you to process up to 2,000 characters of text. Before generating, you can adjust the playback speed of the voice. Once processing is complete, you can download your final voiceover as either an MP3 or WAV file.
Note: Because Konthora operates a no-account workflow, generated audio is only stored temporarily. You must download your audio files during your active session.
Ready to create a voiceover?
Paste your script, choose your favorite voice, and generate audio instantly.